Microtexture Region Segmentation Using Matching Component Analysis Applied to Eddy Current Testing Data

Microtexture regions (MTR) are collections of grains with similar crystallographic orientation; their presence in aerospace components can significantly impact component life. Thus, a method to detect and characterize MTR is needed. A potential solution is to use eddy current testing, which is sensitive to local changes in crystallographic orientation, to determine the size and dominant orientation of MTR. In this work, we introduce a technique that combines a variant of the matching component analysis algorithm with level set inversion in order to characterize MTR using eddy current testing data. The method is applied to simulated eddy current testing data of a real titainum specimen. Using this technique, we are able to successfully determine the boundaries and average orientation of MTR in the specimen.